Estimating MR relaxation in a single shot: considerations for estimation accuracy

Donald B. Twieg; Stanley J. Reeves

doi:10.1117/12.770505

12 March 2008 Estimating MR relaxation in a single shot: considerations for estimation accuracy

Donald B. Twieg, Stanley J. Reeves

Proceedings Volume 6916, Medical Imaging 2008: Physiology, Function, and Structure from Medical Images; 69160W (2008) https://doi.org/10.1117/12.770505
Event: Medical Imaging, 2008, San Diego, California, United States

Abstract

Quantitative and spatially accurate maps of local NMR relaxation rates from single-shot acquisitions are of value for functional MRI and dynamic contrast studies. Addressing this need is SS-PARSE (Single-shot parameter assessment by recovery from signal encoding), a recently introduced MRI technique for mapping magnetization magnitude and phase, frequency, and net transverse decay rate R₂* from a single-shot (<70 msec) signal. Instead of implicitly modeling the local signal as arising from a constant magnetization vector, SS-PARSE models the evolution in phase and the decay in amplitude of the local signal and estimates the local parameter maps producing the observed signal. Because the local signal model used is fundamentally more accurate than the model implicitly used in most current MRI methodology, SS-PARSE maps are inherently free from geometric errors due to off-resonance frequencies. The accuracy of the parameter estimates is determined by (a) the information available in the signal (the form of the local signal model, the sampling pattern, and random noise), and by (b) the effectiveness of the estimation algorithm in extracting the information present in the signal. Sources of bias and random errors are discussed. The performance of the method is investigated using experimental phantom data.

Citation Download Citation

Donald B. Twieg and Stanley J. Reeves "Estimating MR relaxation in a single shot: considerations for estimation accuracy", Proc. SPIE 6916, Medical Imaging 2008: Physiology, Function, and Structure from Medical Images, 69160W (12 March 2008); https://doi.org/10.1117/12.770505

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